The Strategic analysis cycle handbook : how advanced data collection and analysis underpins winning strategies / Erik Elgersma
Material type:
- 9781911498360
- HD 30.28 .E44 2017

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Annex II Reference | Management Accounting | REF HD 30.28 .E44 2017 (Browse shelf(Opens below)) | c.1 | Available | NULIB000018567 |
Includes bibliographical references.
Chapter 1. Introduction -- 2. Briefing and project brief -- 3. Attributes of sources and the collection plan -- 4. People: Collection from friendly or neutral sources -- 5. People: collection from unsuspecting sources -- 6. Papers: Collection from Public domain sources -- 7. Pictures: Collection of data from images -- 8. Products of data from things -- 9. Analysis -- 10. Input data quality assurance -- 11. Data-set preparation -- 12. Common issues in data set processing -- 13. Hypothesis formulation and testing -- 14. Analytical pitfalls -- 15. Reporting -- 16. Analyst decision-maker interaction -- 17. Social biases in decision-making -- 18. Ethics and compliance in data collection -- 19. Data management and retrieval -- 20. Organizing a strategic analysis function -- 21. Profile of a strategy analyst.
This is an authoritative and practical guide to collecting, analyzing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today’s business environment. This book, written by a leading practitioner, explains the underpinning nature of data for a company’s business strategy. The book begins with data collection: getting data is no big deal; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and determines competitive advantage. And, finally, managing data: how to organize your data collection and analysis to create winning strategies. This is a definitive book about one of the most important topics in today’s digital and data-driven economy.
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